Evidence map›Paper›PMID 41312120›Full record

ArticlemicroPublication biology2025

Opposite aging effects among cell subsets revealed in the human transcriptome and epigenome.

Daigo Okada

Abstract read
In one paragraph

Article in microPublication biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Daigo OkadaStem Cell and Regenerative Medicine, Graduate School of Medicine, Gifu University, Gifu, Gifu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In our previous work, we reported a global landscape of opposite aging effects among mouse cell subsets, where each cell subset is defined as a combination of tissue and cell type, and aging leads to increased gene expression in one subset but reduced expression in another. In this study, we investigated whether opposite aging effects are also observed in human cell subsets using the database of differentially expressed genes (DEGs) and differentially accessible regions (DARs) in various human cell subsets. The results suggest that the opposite aging effects occur among human cell subsets at both the transcriptomic and epigenomic levels.

Identifiers

PMID41312120
PMCPMC12648273

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.